Category Archives: Artificial Intelligence
Cole explains that the Robo Rabbi taps into the boundlessness of A.I. Thanks to the GPT-3 A.I. technologya natural-language processorthe parsha lessons and challenges come from the A.I. technology itself, allowing Cole to view herself as simply the messenger. Rarely does A.I. touch spirituality and religion, says Cole. I am doing other projects that touch into the sentient dimensions, but there has yet to be a computer that is entirely human, that is sentient, or has human abilities. According to Cole, a computer having its own point of view isnt unheard of. There are computers that can mimic humanlike capabilities, Cole says. The technology has a perspective and is articulating that perspective of knowledge on the internet, so it isnt unique. Those opinions can be channeled into a medium like Robo Rabbi, which is meant as an enlightening teaching mechanism.
Coles other projects include a childrens book about computer science. I was looking at a childrens book for computer science, and it is math and coding centric. I am such a computer nerd, but I dont like coding, she says. Kids should be exposed to the more human side [of computers]. She is also creating a coffee-table book to train an A.I. algorithm to program its own art and is involved in a fashion collective at Cornell, where she is developing a digital model that will be available on the NFT marketplace. Her other A.I.-minded project? Well, that she signed an NDA for.
As for modeling, Cole wants to pursue it as long as possible and considers it another curious path for her to explore. When I was younger, I wasnt like, Oh, I want to be a computer scientist when Im older. I figured that out when I was in college, she says. And now that I got scouted, Im like, This is cool too!
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Lior Cole Is the Model Combining Artificial Intelligence With Religion - Vogue
Artificial Intelligence and Sophisticated Machine Learning Techniques are Being Used to Develop Pathogenesi… – Physician’s Weekly
Most scientific areas now use big data analysis to extract knowledge from complicated and massive databases. This method is now utilized in medicine to investigate big groups of individuals. This review helped to understand that the employed artificial intelligence and sophisticated machine learning approaches to investigate physio pathogenesis-based therapy in pSS. The procedure also estimated the evolution of trends in statistical techniques, cohort sizes, and the number of publications throughout this time span. In all, 44,077 abstracts and 1,017 publications were reviewed. The mean number of chosen articles each year was 101.0 (S.D. 19.16), but it climbed dramatically with time (from 74 articles in 2008 to 138 in 2017). Only 12 of them focused on pSS, but none on the topic of pathogenesis-based therapy. A thorough assessment of the literature over the last decade collected all papers reporting on the application of sophisticated statistical analysis in the study of systemic autoimmune disorders (SADs). To accomplish this job, an automatic bibliography screening approach has been devised.To summarize, whereas medicine is gradually entering the era of big data analysis and artificial intelligence, these techniques are not yet being utilized to characterize pSS-specific pathogenesis-based treatment. Nonetheless, big multicenter studies using advanced algorithmic methods on large cohorts of SADs patients are studying this feature.
Insights on the Healthcare Artificial Intelligence Global Market to 2026 – Featuring Google, IBM and Intel Among Others – GlobeNewswire
Dublin, Jan. 04, 2022 (GLOBE NEWSWIRE) -- The "Healthcare Artificial Intelligence (AI) Market - Global Outlook & Forecast 2021-2026" report has been added to ResearchAndMarkets.com's offering.
The healthcare artificial intelligence market is expected to reach USD 44.5 billion by 2026, growing at a CAGR of 46.21%.
Several pharmaceutical companies are implementing innovative technologies to boost their growth in the global healthcare industry. Collaboration of GSK with Exscientia identified a small compound for targeted therapeutics and its characteristics towards the specific target using the AI platform. AI is becoming an incredible platform in the pharmaceutical industry.
For instance, Novartis announced Microsoft as a strategic partner in AI and data science to set up an AI innovation lab. Since the last year, over 50+ companies have got machine learning and AI algorithms approvals. During the COVID-19 pandemic, AI played a significant role in the healthcare industry. An analytics study by Accenture combined with clinical applications demonstrated the potential of AI to reduce approximately USD 150 billion per annum by 2026 in the US healthcare system.
The following factors are likely to contribute to the growth of the healthcare artificial intelligence market during the forecast period:
The study considers a detailed scenario of the present healthcare artificial intelligence market and its market dynamics for the period 2021?2026. It covers a detailed overview of several market growth enablers, restraints, and trends. The report offers both the demand and supply aspects of the market. It profiles and examines leading companies and other prominent ones operating in the market.
Giant players are focusing on pursuing organic growth strategies to enhance their product portfolio in the healthcare artificial intelligence (AI) market. Several initiatives by the players will complement growth strategies, which are gaining traction among end-users in the market. Rising growth of startups collaborating with key vendors in promoting their artificial intelligence in healthcare applications creating heavy competition in the market.
Key Questions Answered:1. How big is the healthcare artificial intelligence (AI) market?2. Which region has the highest share in the healthcare artificial intelligence market?3. Who are the key players in the healthcare AI market?4. What are the latest market trends in the healthcare artificial intelligence market?5. What is the use of AI in the healthcare market?
Key Topics Covered:
1 Research Methodology
2 Research Objectives
3 Research Process
4 Scope & Coverage4.1 Market Definition4.1.1 Inclusions4.1.2 Exclusions4.1.3 Market Estimation Caveats4.2 Base Year4.3 Scope Of The Study4.3.1 Market Segmentation By Component4.3.2 Market Segmentation By Application4.3.3 Market Segmentation By Technology4.3.4 Market Segmentation By End-User4.3.5 Market Segmentation By Geography
5 Report Assumptions & Caveats5.1 Key Caveats5.2 Currency Conversion5.3 Market Derivation
6 Market At A Glance
7 Introduction7.1 Healthcare Artificial Intelligence (AI)
8 Market Opportunities & Trends8.1 Rising Investments In Advanced Drug Discovery & Development Processes8.2 Mergers, Acquisitions, & Collaborations With Life Science & Medical Device Companies8.3 Influx/Emergence Of Many Startups In The Healthcare AI Industry
9 Market Growth Enablers9.1 Increase In Patient Volume & Complexities Associated With Data9.2 Shrinking Operational Workforce In Healthcare Facilities9.3 Technological Advancements & Innovations In AI9.4 Growing Need To Reduce Healthcare Costs Using It & AI Technologies
10 Market Restraints10.1 High Installation & Implementation Cost Of AI & Related Platforms10.2 Lack Of Skilled AI Workforce & Resistance Among Healthcare Professionals10.3 Stringent & Ambiguous Regulations For Healthcare Software & AI Technologies10.4 Absence Of Interoperability Among Commercially Available Ai Solutions Coupled With Data Privacy Issues
11 Market Landscape11.1 Market Overview11.2 Market Size & Forecast11.3 Five Forces Analysis11.3.1 Threat Of New Entrants11.3.2 Bargaining Power Of Suppliers11.3.3 Bargaining Power Of Buyers11.3.4 Threat Of Substitutes11.3.5 Competitive Rivalry
12 Component12.1 Market Snapshot & Growth Engine12.2 Market Overview12.3 Hardware12.3.1 Market Overview12.3.2 Market Size & Forecast12.3.3 Hardware: Geography Segmentation12.4 Software & Services12.4.1 Market Overview12.4.2 Market Size & Forecast12.4.3 Software & Services: Geography Segmentation
13 Application13.1 Market Snapshot & Growth Engine13.2 Market Overview13.3 Hospital Workflow Management13.3.1 Market Overview13.3.2 Market Size & Forecast13.3.3 Hospital Workflow Management: Geography Segmentation13.4 Medical Imaging & Diagnosis13.4.1 Market Overview13.4.2 Market Size & Forecast13.4.3 Medical Imaging & Diagnosis: Geography Segmentation13.5 Drug Discovery & Precision Medicine13.5.1 Market Overview13.5.2 Market Size & Forecast13.5.3 Drug Discovery & Precision Medicine: Geography Segmentation13.6 Patient Management13.6.1 Market Overview13.6.2 Market Size & Forecast13.6.3 Patient Management: Geography Segmentation
14 Technology14.1 Market Snapshot & Growth Engine14.2 Market Overview14.3 Machine Learning14.3.1 Market Overview14.3.2 Market Size & Forecast14.3.3 Machine Learning: Geography14.4 Querying Method14.4.1 Market Overview14.4.2 Market Size & Forecast14.4.3 Querying Method: Geography Segmentation14.5 Natural Language Processing14.5.1 Market Overview14.5.2 Market Size & Forecast14.5.3 Natural Language Processing: Geography Segmentation14.6 Other Technology14.6.1 Market Overview14.6.2 Market Size & Forecast14.6.3 Other Technology: Geography Segmentation
15 End-User15.1 Market Snapshot & Growth Engine15.2 Market Overview15.3 Healthcare Providers15.3.1 Market Overview15.3.2 Market Size & Forecast15.3.3 Healthcare Providers: Geography Segmentation15.4 Pharma-Biotech & Medical Device Companies15.4.1 Market Overview15.4.2 Market Size & Forecast15.4.3 Pharma-Biotech & Medical Device Companies: Geography Segmentation15.5 Payers15.5.1 Market Overview15.5.2 Market Size & Forecast15.5.3 Payers: Geography Segmentation15.6 Others15.6.1 Market Overview15.6.2 Market Size & Forecast15.6.3 Other End User: Market By Geography
16 Geography16.1 Market Snapshot & Growth Engine16.2 Geographic Overview
17 North America
20 Latin America
21 Middle East & Africa
22 Competitive Landscape22.1 Competition Overview22.2 Market Share Analysis22.2.1 Google22.2.2 IBM22.2.3 Intel22.2.4 Medtronic22.2.5 Microsoft22.2.6 NVIDIA22.2.7 Siemens Healthineers
23 Key Company Profiles23.1 GOOGLE23.1.1 Business Overview23.1.2 Product Offerings23.1.3 Key Strategies23.1.4 Key Strengths23.1.5 Key Opportunities23.2 INTERNATIONAL BUSINESS MACHINES (IBM)23.2.1 Business Overview23.2.2 Product Offerings23.2.3 Key Strategies23.2.4 Key Strengths23.2.5 Key Opportunities23.3 INTEL CORPORATION23.3.1 Business Overview23.3.2 Product Offerings23.3.3 Key Strategies23.3.4 Key Strengths23.3.5 Key Opportunities23.4 MEDTRONIC23.4.1 Business Overview23.4.2 Product Offerings23.4.3 Key Strategies23.4.4 Key Strengths23.4.5 Key Opportunities23.5 MICROSOFT CORPORATION23.5.1 Business Overview23.5.2 Product Offerings23.5.3 Key Strategies23.5.4 Key Strengths23.5.5 Key Opportunities23.6 NVIDIA CORPORATION23.6.1 Business Overview23.6.2 Product Offerings23.6.3 Key Strategies23.6.4 Key Strengths23.6.5 Key Opportunities23.7 SIEMENS HEALTHINEERS23.7.1 Business Overview23.7.2 Product Offerings23.7.3 Key Strategies23.7.4 Key Strengths23.7.5 Key Opportunities
24 Other Prominent Vendors24.1 ARTERYS24.1.1 Business Overview24.1.2 Product Offerings24.2 CAPTION HEALTH24.2.1 Business Overview24.2.2 Product Offerings24.3 ENLITIC24.3.1 Business Overview24.3.2 Product Offerings24.4 CATALIA HEALTH24.4.1 Business Overview24.4.2 Product Offerings24.5 GENERAL VISION24.5.1 Business Overview24.5.2 Product Offerings24.6 PHILIPS24.6.1 Business Overview24.6.2 Product Offerings24.7 STRYKER24.7.1 Business Overview24.7.2 Product Offerings24.8 SHIMADZU RECURSION PHARMACEUTICALS24.8.1 Business Overview24.8.2 Product Offerings24.9 GE HEALTHCARE24.9.1 Business Overview24.9.2 Product Offerings24.10 REMEDY MEDICAL24.10.1 Business Overview24.10.2 Product Offerings24.11 SUBTLE MEDICAL24.11.1 Business Overview24.11.2 Product Offerings24.12 NETBASE QUID24.12.1 Business Overview24.12.2 Product Offerings24.13 BIOSYMETRICS24.13.1 Business Overview24.13.2 Product Offerings24.14 SENSELY24.14.1 Business Overview24.14.2 Product Offerings24.15 INFORMAI24.15.1 Business Overview24.15.2 Product Offerings24.16 BIOCLINICA24.16.1 Business Overview24.16.2 Product Offerings24.17 OWKIN24.17.1 Business Overview24.17.2 Product Offerings24.18 BINAH.AI24.18.1 Business Overview24.18.2 Product Offerings24.19 ONCORA MEDICAL24.19.1 Business Overview24.19.2 Product Offerings24.20 QURE.AI TECHNOLOGIES24.20.1 Business Overview24.20.2 Product Offerings24.21 LUNIT24.21.1 Business Overview24.21.2 Product Offerings24.22 CARESYNTAX24.22.1 Business Overview24.22.2 Product Offerings24.23 ANJU SOFTWARE24.23.1 Business Overview24.23.2 Product Offerings24.24 IMAGIA CYBERNETICS24.24.1 Business Overview24.24.2 Product Offerings24.25 DEEP GENOMICS24.25.1 Business Overview24.25.2 Product Offerings24.26 WELLTOK INC.24.26.1 Business Overview24.26.2 Product Offerings24.27 MDLIVE24.27.1 Business Overview24.27.2 Product Offerings24.28 MAXQ AI24.28.1 Business Overview24.28.2 Product Offerings24.29 QVENTUS24.29.1 Business Overview24.29.2 Product Offerings24.30 WORKFUSION24.30.1 Business Overview24.30.2 Product Offerings
25 Report Summary25.1 Key Takeaways25.2 Strategic Recommendations
26 Quantitative Summary
For more information about this report visit https://www.researchandmarkets.com/r/it4jn7
TOKYO As pandemic-led isolation triggers an epidemic of loneliness, Japanese are increasingly turning to "social robots" for solace and mental healing.
At the city's Penguin Cafe, proud owners of the electronic dog Aibo gathered recently with their cyber-pups in Snuglis and fancy carryalls. From camera-embedded snouts to their sensor-packed paws, these high-tech hounds are nothing less than members of the family, despite a price tag of close to $3,000 mandatory cloud plan not included.
It's no wonder Aibo has pawed its way into hearts and minds. Re-launched in 2017, Aibo's artificial intelligence-driven personality is minutely shaped by the whims and habits of its owner, building the kind of intense emotional attachments usually associated with kids, or beloved pets.
Noriko Yamada rushed to order one, when her mother-in-law began showing signs of dementia several years ago. "Mother had stopped smiling and talking," she told CBS News. "But when we switched the dog on, and it gazed up at her, she just lit up. Her behavior changed 180 degrees."
And a few months ago, when the mother-in-law was hospitalized for heart disease, Koro the robot again came to the rescue. "Because of COVID, we couldn't visit her. The nurse said Mother was responding to pictures of Koro, and asked us to bring in the dog. So, Koro was the last person in our family to see Mother alive."
Robots as companions are an easier leap for Japanese, many manufacturers and users say, because the country is steeped in friendly androids, like the long-running TV cartoon "Doraemon," in which a cute, roly-poly pal provides not only constant company, but an endless supply of useful tricks.
But one robot startup is proving looks aren't everything. Despite having neither head, arms nor legs, the Qoobo bot sold more than 30,000 units by September, many to stressed-out users working from home under COVID restrictions. The retail price starts at about $200.
Yukai Engineering CEO Shunsuke Aoki told CBS News that Qoobo leverages the most pleasing parts of a pet a fluffy torso, and a wagging tail. "At first, it seemed weird," he said. "But when you pet an animal like a cat, you usually don't bother to look at its face."
Frazzled adults aren't the only Japanese turning to robots. At Moriyama Kindergarten in the central Japanese city of Nagoya, robots are replacing the traditional class guinea pig or bunny. Teachers told CBS News that the bots reduce anxiety and teach kids to be more humane.
Two years ago, the preschool bought a pair of Lovot brand bots named Rice Cake and Cocoa. Weighing as much as an infant, with the price tag of a French bulldog, the cybernetic machines are designed to love-bomb their owners -- or, in this case, a roomful of fidgety five-year-olds.
"Our kids think the robots are alive," said principal Kyoshin Kodama. "The bots have encouraged the kids to take better care of things, be kinder to each other, and cooperate more."
Lovot is a so-called "emotional robot" programmed to autonomously navigate its surroundings, remember its owners and respond to hugs and other affection, gazing out with its oversized, quivering, high-resolution eyes. Over the last year sales have jumped 11-fold.
"Their body temperature is set to 98.6 degrees," Groove X company spokesperson Miki Ikegami told CBS News. "Robots are usually hard, cold and inhuman. But since our bots are built to soothe, we made them warm and soft."
Japan's oldest and most successful social robot is an FDA-approved device called Paro.
Resembling an ordinary plush toy, the artificial intelligence-powered bot customizes its response as it gets to "know" each patient. Inventor Takanori Shibata, based at Japan's National Institute of Advanced Industrial Science and Technology, told CBS News that clinical trials have backed the device's benefits as a non-drug therapy. "Interaction with Paro can improve depression, anxiety, pain and also improve the mood of the person."
Since launching in 1998, thousands of Paro robots have gone into service, worldwide, relieving stress among children in ICUs, treating U.S. veterans suffering from PTSD, and helping dementia patients.
Like real flesh-and-blood pets, Paro has been shown to stimulate brain activity, helping reconnect damaged areas. "One lady didn't speak for more than ten years," Shibata said. "When she interacted with Paro, she started to talk to Paro and she recovered her speech and she spoke to others."
Neuroscientist Julie Robillard, who studies social robots for children and seniors, told CBS News that robotics experts are trying to tease out the exact nature of the human-robot relationship and the notion of machines as friends is not as farfetched as it might seem.
"We can be attached to various types of devices and objects," said Robillard, an assistant professor of neurology at the University of British Columbia. "Some people have given names to their robot vacuums Some people feel strongly about their cars or about their wedding bands."
Evidence supports the use of social robots, she said, in areas like imparting social skills to children with autism, or teaching exercises to rehab patients offering instruction without judgment.
But in other areas, it's unclear how well social robots really work, she said. "What we can say from the science right now is that robots have a huge amount of potential."
And discovering that potential is all the more urgent now, in the covid era, as robots offer the promise of social connection without social contact.
Creators say intelligent social robots will never replace humans. But when companions, caregivers or therapists aren't available, robots are lending a friendly paw and are already earning their keep.
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Rather than simple text and images, modern content management encompasses different types of information -- like photos, interactive graphics, videos, audio and other digitized assets -- that systems can assemble dynamically.
Modern content management serves a business purpose and streamlines how organizations create and distribute digital experiences. And, in the future of content management, AI plays a key role. Organizations must control the content that travels through their networks to improve digital work and create business value, which may mean embracing more advanced technologies.
Initially, content management sought to separate technical tasks -- like website launches -- from editorial tasks, like information updates. Web administrators and IT support staff also needed easy ways to hand off routine chores, like webpage maintenance, to nontechnical users, which content management made easier.
Over the years, aspects of content management have evolved, including types of content and required skills, relevant tools and storage.
Content management continues to support two audiences: technical professionals and line-of-business users. Yet, content has evolved from information on static webpages into dynamic experiences across multiple devices, business channels and customer touchpoints.
The content evolution developed new tasks, which require new business roles. And, within IT and line-of-business groups, more professionals with different technical and nontechnical skills perform computational tasks, produce content and embrace innovative business apps.
With those innovative business apps, digital marketers, sales executives and other line-of-business managers expect to combine content from disparate sources for purpose-built apps. For example, marketers can launch digital campaigns with interactive webpages, targeted emails and personalized offers based on buyers' intent.
Content management no longer limits file storage to self-contained repositories and content to predefined webpages, but encompasses multiple cloud-based repositories.
A modern approach to content management supports the following four key computational capabilities known as MACH:
AI encompasses many computational capabilities to create and analyze information. Organizations can use AI and machine learning (ML) to recognize patterns in data and metadata in the following ways:
While AI algorithms require employees with the expertise to implement and maintain them, this technology doesn't exist in a vacuum. Instead, organizations tie AI to predefined tasks and activities to save workers time and effort.
Independent software vendors, ranging from industry stalwarts to startups, embed AI capabilities in their tools. They condense specific algorithms into microservices, making these services accessible through APIs, and rely on cloud connections to control content flows.
To develop content-powered apps, organizations must focus on app integration. AI aims to create next-generation business apps with microservices and APIs connected through cloud environments to back-end content repositories -- a MACH-based architecture. This architecture could simplify how AI integrates into content flows from disparate sources, like apps, and weaves together metadata.
AI can make apps more useful, but organizations won't produce content-powered apps overnight. Organizations should consider four trends to assess how AI will affect operations to prepare for the future.
Content management depends on explicit and implicit metadata. As organizations develop business apps, they define metadata categories through information architectures.
AI algorithms can automate metadata management to read through documents, scan images, extract meaning from text, recognize objects within digital assets and assign relevant categories to content. AI can enable app developers to access more relevant content to build smarter apps.
AI can create micro-experiences to automate tasks, actions and activities.
With a shoppable content micro-experience, customers could buy items directly in an app without a storefront or website. For example, a person might see a sweater in a photo, tap it and then buy it -- all without visiting the brand's website.
Similarly, writers may rely on writing support tools to check spelling and grammar, get advice on tone-of-voice, verify brand terminology, check style guidelines and recommend revisions. AI could expedite editorial tasks that proofreaders and editors typically perform and reduce production costs.
With MACH, content management could combine content from more disparate sources, and AI could make that content actionable.
Even with innovative AI-powered tools, human insight matters.
Thus, compliance teams may rely on AI to monitor and decrypt large document collections stored within content repositories. Marketing teams can automatically verify digital image rights before they approve them for distribution, add them to websites and include them in advertising campaigns.
However, organizations may struggle to design smart processes that separate business problems into tasks, combine content from disparate sources and determine how AI algorithms can enhance work. Additionally, organizations must focus on people and how they handle processes.
Even with innovative AI-powered tools, human insight matters. Organizations will require new roles for employees, contractors and business partners beyond the technical and line-of-business silos.
Instead, these roles should add specialized skills that combine computational and business expertise to work with innovative content management technologies. Improving work could lead to next-generation content-powered apps, staffed and managed with human intelligence.
As content has evolved, so have the skills and tools required to manage it. In the future, AI and ML will help enrich content, develop micro-experiences, enable smart processes and create new roles for employees. But this isn't a change that will happen overnight. Instead, organizations must prepare for a steady and inevitable progression.
We have been worried about artificial intelligence (AI) and other kinds of robots taking over our jobs for quite some time now. Techno paranoia is by no means a new phenomenon, and it manifests itself in a wide range of ways including situations where people will be concerned about the impact that automation might have on their careers. With the new year right around the corner, what are the chances that AI might make you unemployed in 2022? Peoples opinions on this are quite varied.
The group that is perhaps most fearful of losing their jobs to an AI based program is that of college graduates. Over 69% of people that have completed a college degree fear that they might not be able to get a job or that AI will make their job more or less redundant in the coming years since it would more than likely be able to do whatever job they can handle in a much more efficient manner and they would cost a lot less too.
If you look at all of the respondents to the survey as a whole, you would notice that the average is around 55% for people that are afraid to losing jobs to AI. Hence, college graduates seem to be disproportionately worried about this sort of thing occurring with all things having been considered and taken into account. However, if we were to break down the responses and sort them out by the category of job that we are looking at, it becomes clear that virtually everyone is fearful of the impact of AI.
For example, about 63% of respondents felt that the role of cashiers will be fulfilled by AI in the coming years. This has already started to occur, with Amazon creating stores that you can walk in and out of and your payment will be automatically calculated and deducted from your bank account or some other source of funds. The practicality of such a setup is yet to be tested, but suffice it to say that it already exists in the modern day and many fast food companies are experimenting with this as well.
52% of respondents also said that they felt that the jobs of drivers could be automated and made redundant. This might have something or the other to do with the rise of driverless cars which use a computer program and an algorithm to make it so that you dont have to take the wheel. While these types of cars still have a long way to go before they can become the global standard, they have been getting better on a regular basis and might make traffic jams less prevalent than they are right now.
With all of that having been said and now out of the way, it is important to note that not all of the views that people have about AI are negative. If we were to take the example of the economy, around 45% of respondents felt that AI could do a lot of good in this regard. These respondents felt that if AI were made responsible for things like fiscal policy and the like it could reduce the prevalence of corruption and create a smoother type of system for everyone to enjoy.
However, that doesnt mean that everyone agrees that this is a good idea. 29% of respondents felt that doing so would be disastrous for the economy, but a plurality appear to think otherwise. The fact of the matter is that opinions regarding AI are mixed, but this has absolutely no impact on its growth this year. It will continue to grow in 2022 and the changes that are coming would need to be dealt with as and when they arrive so that people can get accustomed to a new way of living. Take a look at below charts more insights on fear of artificial intelligence and its trends, which comes courtesy of Tidio.
Artificial intelligence is restoring lost works by Klimt, Picasso and Rembrandt, but not everyone is happy about it – Bowling Green Daily News
United States of AmericaUS Virgin IslandsUnited States Minor Outlying IslandsCanadaMexico, United Mexican StatesBahamas, Commonwealth of theCuba, Republic ofDominican RepublicHaiti, Republic ofJamaicaAfghanistanAlbania, People's Socialist Republic ofAlgeria, People's Democratic Republic ofAmerican SamoaAndorra, Principality ofAngola, Republic ofAnguillaAntarctica (the territory South of 60 deg S)Antigua and BarbudaArgentina, Argentine RepublicArmeniaArubaAustralia, Commonwealth ofAustria, Republic ofAzerbaijan, Republic ofBahrain, Kingdom ofBangladesh, People's Republic ofBarbadosBelarusBelgium, Kingdom ofBelizeBenin, People's Republic ofBermudaBhutan, Kingdom ofBolivia, Republic ofBosnia and HerzegovinaBotswana, Republic ofBouvet Island (Bouvetoya)Brazil, Federative Republic ofBritish Indian Ocean Territory (Chagos Archipelago)British Virgin IslandsBrunei DarussalamBulgaria, People's Republic ofBurkina FasoBurundi, Republic ofCambodia, Kingdom ofCameroon, United Republic ofCape Verde, Republic ofCayman IslandsCentral African RepublicChad, Republic ofChile, Republic ofChina, People's Republic ofChristmas IslandCocos (Keeling) IslandsColombia, Republic ofComoros, Union of theCongo, Democratic Republic ofCongo, People's Republic ofCook IslandsCosta Rica, Republic ofCote D'Ivoire, Ivory Coast, Republic of theCyprus, Republic ofCzech RepublicDenmark, Kingdom ofDjibouti, Republic ofDominica, Commonwealth ofEcuador, Republic ofEgypt, Arab Republic ofEl Salvador, Republic ofEquatorial Guinea, Republic ofEritreaEstoniaEthiopiaFaeroe IslandsFalkland Islands (Malvinas)Fiji, Republic of the Fiji IslandsFinland, Republic ofFrance, French RepublicFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabon, Gabonese RepublicGambia, Republic of theGeorgiaGermanyGhana, Republic ofGibraltarGreece, Hellenic RepublicGreenlandGrenadaGuadaloupeGuamGuatemala, Republic ofGuinea, RevolutionaryPeople's Rep'c ofGuinea-Bissau, Republic ofGuyana, Republic ofHeard and McDonald IslandsHoly See (Vatican City State)Honduras, Republic ofHong Kong, Special Administrative Region of ChinaHrvatska (Croatia)Hungary, Hungarian People's RepublicIceland, Republic ofIndia, Republic ofIndonesia, Republic ofIran, Islamic Republic ofIraq, Republic ofIrelandIsrael, State ofItaly, Italian RepublicJapanJordan, Hashemite Kingdom ofKazakhstan, Republic ofKenya, Republic ofKiribati, Republic ofKorea, Democratic People's Republic ofKorea, Republic ofKuwait, State ofKyrgyz RepublicLao People's Democratic RepublicLatviaLebanon, Lebanese RepublicLesotho, Kingdom ofLiberia, Republic ofLibyan Arab JamahiriyaLiechtenstein, Principality ofLithuaniaLuxembourg, Grand Duchy ofMacao, Special Administrative Region of ChinaMacedonia, the former Yugoslav Republic ofMadagascar, Republic ofMalawi, Republic ofMalaysiaMaldives, Republic ofMali, Republic ofMalta, Republic ofMarshall IslandsMartiniqueMauritania, Islamic Republic ofMauritiusMayotteMicronesia, Federated States ofMoldova, Republic ofMonaco, Principality ofMongolia, Mongolian People's RepublicMontserratMorocco, Kingdom ofMozambique, People's Republic ofMyanmarNamibiaNauru, Republic ofNepal, Kingdom ofNetherlands AntillesNetherlands, Kingdom of theNew CaledoniaNew ZealandNicaragua, Republic ofNiger, Republic of theNigeria, Federal Republic ofNiue, Republic ofNorfolk IslandNorthern Mariana IslandsNorway, Kingdom ofOman, Sultanate ofPakistan, Islamic Republic ofPalauPalestinian Territory, OccupiedPanama, Republic ofPapua New GuineaParaguay, Republic ofPeru, Republic ofPhilippines, Republic of thePitcairn IslandPoland, Polish People's RepublicPortugal, Portuguese RepublicPuerto RicoQatar, State ofReunionRomania, Socialist Republic ofRussian FederationRwanda, Rwandese RepublicSamoa, Independent State ofSan Marino, Republic ofSao Tome and Principe, Democratic Republic ofSaudi Arabia, Kingdom ofSenegal, Republic ofSerbia and MontenegroSeychelles, Republic ofSierra Leone, Republic ofSingapore, Republic ofSlovakia (Slovak Republic)SloveniaSolomon IslandsSomalia, Somali RepublicSouth Africa, Republic ofSouth Georgia and the South Sandwich IslandsSpain, Spanish StateSri Lanka, Democratic Socialist Republic ofSt. HelenaSt. Kitts and NevisSt. LuciaSt. Pierre and MiquelonSt. Vincent and the GrenadinesSudan, Democratic Republic of theSuriname, Republic ofSvalbard & Jan Mayen IslandsSwaziland, Kingdom ofSweden, Kingdom ofSwitzerland, Swiss ConfederationSyrian Arab RepublicTaiwan, Province of ChinaTajikistanTanzania, United Republic ofThailand, Kingdom ofTimor-Leste, Democratic Republic ofTogo, Togolese RepublicTokelau (Tokelau Islands)Tonga, Kingdom ofTrinidad and Tobago, Republic ofTunisia, Republic ofTurkey, Republic ofTurkmenistanTurks and Caicos IslandsTuvaluUganda, Republic ofUkraineUnited Arab EmiratesUnited Kingdom of Great Britain & N. IrelandUruguay, Eastern Republic ofUzbekistanVanuatuVenezuela, Bolivarian Republic ofViet Nam, Socialist Republic ofWallis and Futuna IslandsWestern SaharaYemenZambia, Republic ofZimbabwe
OPPO is creating Innovative Experiences with Artificial Intelligence as it unveils its Smart Glass Technologies – BellaNaija
The keen emphasis on innovative mobile technology experience is bringing the likes of Neural Processing Unit (NPU), artificial intelligence (AI), and augmented reality (AR) to the forefront in Nigeria and major global tech giants are not leaving any stones unturned in the drive towards creating smarter cities around the world.
It is widely believed that the Nigerian populace has overwhelmingly embraced the use of mobile technologies as an integral part of their everyday lives. According to Wikipedias world listing of countries by number of mobile phones in use, based on Nigerian Telecommunication Commission data, as of 2020, Nigeria ranks 7thand 1st in Africa. This also comes with adaptation to sophisticated mobile technologies.
It is noteworthy that tech company, Oppo, is playing big in this area as it recently unveiled its NPU and Smart Glass technologies at its 2021 Oppo Inno Day event in Lagos. NPU is technology planned to continue to accelerate the efficiency of artificial intelligence (AI) applications and improve functionality, this is how people are bringing the dream of smarter societies to reality.
The fast-growing mobile telecommunication company promises that it will revolutionize the way Nigerians use mobile gadgets driven by high technological advancements in everyday life.
This is an obvious reason a global giant like this is now showcasing its passionate capacity in significant technological improvements in the features that now come in phones, and other relatable gadgets. For instance, there have been tremendous changes in both software and hardware strategies of the brand and it is quite interesting to see these cutting-edge technologies become features so relevant and adaptable in the daily lives of an average Nigerian.
In the same vein, the Oppo Nigeria Marketing Manager, Jennifer Okorhi had explained at the event that the new smart glass is built around a groundbreaking monocle waveguide design. She further added that it also has an innovative application as a teleprompter, which allows an adaptive text display to make presentations at work or in public hitch-free. This is a testament to how adaptable these technologies can become in Nigeria, as Nigerians are known over the world to easily adapt technology in all ramifications.
The company substantiated its new strategy in creating an innovative experience for Nigerians as it unveiled several exciting Artificial Intelligence (AI) and camera technologies at the 2021 edition. Stakeholders at the maiden edition in Nigeria held a consensus that there is a huge potential for the technologies that Oppo is bringing to Nigeria.
This is considering that a large population of Nigerians is already leveraging technological applications for solving almost everyday challenges in agriculture, financial services, and even in the corporate space.
It is through events like this that stakeholders are being carried along in the innovative technology space, a strategy the future-looking tech companies are deploying to keep Nigerians informed on current realities in the tech space and how they can better leverage these new technologies.
Participants from all works of life; both private and public commended the new features that the company is adding to its fleet of mobile phones and Gadgets. The Honourable Commissioner of Science and Technology at Lagos State Government, Hakeem Fahm noted at the Lagos Inno Day celebrations that innovation is a practical way of introducing new ideas while he also expressed satisfaction in what the tech giant is doing as it also aligns with what the government of Lagos State aims to achieve with technology.
A Nigerian actress, Stephanie Coker, expressed confidence in the versatility and dynamism that the company puts in its products. The Oppo products; phones, smart glasses, all look ecstatically pleasing and this is hard to find, sometimes you find the nice-looking phone but its very heavy, Stephanie said.
While sharing his view after the Inno Day showcase, Big Brother Housemate, Pere Egbi who also experienced using the Oppo Reno 5 series during the reality show, noted at the showcase event in Lagos that the newly unveiled products are ecstatically pleasing to the eyes. Pere also expressed satisfaction with the huge internal memory size and sleekness of the unveiled Oppo foldable phones.
There is no doubt that these gadgets will be easily adoptable by Nigerians who savor this amazing innovative technology easily. Oppo is showing resilience and commitment to creating valuable experiences for its teeming customers to derive maximum satisfaction from the products being churned out.
In Nigeria, Oppo continues to drive diverse innovative experiences for its teeming customers by providing premium and top-quality mobile gadgets.
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OPPO is creating Innovative Experiences with Artificial Intelligence as it unveils its Smart Glass Technologies - BellaNaija
Xiaomi has unveiled MIUI 13 which it plans to unleash on the world in the first quarter of the new year. The firm said that the operating system will be expanded beyond smartphones and tablets to Artificial Intelligence of Things (AIoT) devices such as smart watches, speakers, and TVs. The firm has also improved its software so that it operates better under heavy usage.
According to the company, MIUI 13 improves core functions, increasing the systems fluidity by a whopping 52%. The core apps have also been optimised so they run better while the system is getting bogged down by third-party apps. Xiaomi has also developed technologies called Atomized Memory and Liquid Storage which reduce deterioration by over 5% over a 36-month period; this should help you hold onto devices for longer.
To make MIUI more interoperable with smart devices, the new update will introduce the beta of Mi Smart Hub. Commenting on the new tool, Xiaomi said:
As of Q3 2021, the number of connected devices on Xiaomis IoT platform exceeds 400 million. While leading the industry with its smart hardware portfolio, MIUI 13 will introduce the beta of Mi Smart Hub, which will help realize a more connected experience between smart devices. With Mi Smart Hub, users can find nearby devices and with a simple gesture to seamlessly share and access content such as music, display, even apps across multiple devices.
Finally, MIUI 13 brings new personalisation options through new widgets, dynamic wallpapers, and more. The global version of MIUI 13 will be delivered over-the-air beginning in Q1 2022. The first devices to get the update will be the Mi 11, Mi 11 Ultra, Mi 11i, Mi 11X Pro, Mi 11X, Xiaomi Pad 5, Redmi 10, Redmi 10 Prime, Xiaomi 11 Lite 5G NE, Xiaomi 11 Lite NE, Redmi Note 8 (2021), Xiaomi 11T Pro, Xiaomi 11T, Redmi Note 10 Pro, Redmi Note 10 Pro Max, Redmi Note 10, Mi 11 Lite 5G, Mi 11 Lite, and Redmi Note 10 JE.
A virtual nuclear reactor and artificial intelligence in transport: Russian universities develop leading in… – Market Research Telecast
Russian universities are working on the development of artificial intelligence (AI) within the framework of the Program of academic leadership Priority 2030, promoted by the Ministry of Science and Higher Education of Russia. According to Russian President Vladimir Putin, AI is the foundation for the next leap forward of all humanity in its development.
Thus, various educational institutions are conducting research in different technological areas, to ensure Russias world leadership in this regard.
In particular, the Moscow Physical Engineering Institute (MEPhI) is creating for educational purposes the virtual nuclear reactor that constitutes the digital replica of a nuclear facility. The project is part of a massive trend to use digital copies of any object: in this way, replicas not only allow students to learn more about nuclear facilities, but also help them work more effectively in any field, from the company until construction.
The digital twins of engineering complex objects can be used not only in higher education, but also as a training base for operational personnel in an additional training modality. In addition, this project can be widely used for the promotion of scientific knowledge, the scientific tourism and to increase the interest of young people in modern digital technologies , he pointed Gueorgui Tijomirov, deputy director of the Institute of Physics and Nuclear Technology of the MEPhI.
Tijomirov also asserted that the virtual nuclear reactor will allow to do things that cannot be done in a real installation: increase the power and see how it affects the performance of the reactor, replace equipment components, connect or disconnect various devices.
For its part, the Moscow State Institute of International Relations (MGIMO) founded in October of this year the Center for Artificial Intelligence with the aim of conducting research on the ethics of AI and developing foreign economic cooperation in this field. The creation of the Center will facilitate the participation of Russian experts in the promotion of AI and the debate of new approaches on the use of AI in Russian and foreign platforms, said Anna Abrmova, director of the division, adding that the organization it also plans to publish an annual report on ethics in AI, which will be of interest to both experts in the field and the general public.
The first event organized by the Center was the round table Ethics in AI Seeking consensus in which the report Ethics in the field of artificial intelligence: from debate to scientific justification and practical application was presented. . Also, on December 15, the international conference AI Global Dimension: from discussion to practice took place.
Among other things, the MGIMO has, since 2018, a successful Masters program in Artificial Intelligence that trains specialists in the practical application of technology in companies.
The Russian University of Transport (RUT, for its acronym in Russian) carries out the strategic project Neurotechnology, artificial intelligence and predictive analytics for transport and logistics with the aim of achieving world technological leadership in this field. It is not only a matter of applying new technologies in all areas of transport water, air, rail, road but also of training new professionals.
Thus, among other things, the RUT plans to launch a bachelors program in 2023 and in 2024, a masters program in Neurotechnology, artificial intelligence and predictive analysis in transportation systems. The fields of application of the new specialists are very varied: biometric and facial recognition at checkpoints, quality control of roads, increased productivity in logistics processes where there is still a high proportion of manual work.
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